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The RHESA-CARE study: an extended baseline survey of the regional myocardial infarction registry of Saxony-Anhalt (RHESA) design and objectives

  • 1Email author,
  • 1,
  • 2 and
  • 1
BMC Cardiovascular DisordersBMC series – open, inclusive and trusted201616:159

  • Received: 12 February 2016
  • Accepted: 27 July 2016
  • Published:
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Cardiovascular disease (CVD) is a leading cause of death in Europe. In Germany, a declining mortality rate from acute myocardial infarction (AMI) has been observed in the last decades. Nevertheless, there are large differences between the federal states when looking at the mortality and morbidity of AMI. Saxony-Anhalt is one of the federal states with the highest mortality rates for AMI in Germany. In 2012, the regional myocardial infarction registry of Saxony-Anhalt (RHESA) was established to investigate the individual, infrastructural, and health care factors with respect to an urban (city of Halle) and rural (region of Altmark) population. For detailed observation the RHESA-CARE study was conducted in 2014. RHESA-CARE focuses on the symptoms during infarction, the behaviour of patients while alerting for infarction, the use of rehabilitation possibilities, and long-term care.


RHESA-CARE is an extended baseline survey of AMI patients registered in RHESA who are aged 25 or more, and inhabitants of the city of Halle (Saale) or the district of Altmark in the federal state of Saxony-Anhalt, Germany. Detailed information was collected on classical and psychosocial cardiovascular risk factors as well as factors of alerting behaviour, first aid, and utilization of medical and rehabilitation services. High data quality is ensured by a detailed system of quality control.


RHESA-CARE has the main objective to investigate factors that influence morbidity and mortality rates due to AMI. Another purpose is the comparison of a rural and urban patient population. It provides an opportunity to serve as a base for improvement of patients’ behaviour and health care as well as further research.


  • Myocardial infarction
  • Cohort study
  • Germany


Worldwide, cardiovascular disease (CVD) is a public health problem contributing to 30 % of global mortality (15,616.1 million deaths) and 10 % of the global disease burden [1, 2]. CVD remains also the leading cause of death among Europeans. Over a third of deaths from CVD in the EU are from coronary heart disease (CHD) [3]. One of the five main manifestations of CHD is acute myocardial infarction (AMI). Since 1980 in Germany, the mortality rates of AMI have been declining [4]. However, looking at the occurrence of AMI there are large differences between the federal states of Germany regarding the mortality and morbidity. While in 2012 the age-standardized mortality rate for AMI in Germany was 46 deaths per 100,000 inhabitants, Saxony-Anhalt, a federal state in the eastern part of Germany, has a mortality rate of 67 per 100,000 inhabitants (age-adjusted). However, for Bavaria, a federal state in the southern part of Germany, 47 deaths by AMI per 100,000 inhabitants (age-adjusted) was observed [5]. Saxony-Anhalt is one of the federal states with the highest mortality rates for AMI in Germany. The reasons are still unclear and speculative. Different factors were discussed which could be divided into two fields.

First, individual factors:
  • high prevalence of cardiovascular risk factors in Saxony-Anhalt [6, 7],

  • low socio-economic level, high unemployment [810],

  • less use of medical services (ambulant as well as post-hospital) [11],

  • alerting behaviour during AMI [12, 13], and

  • adherence to medication [14].

Second, structural factors:
  • lower doctor density (family doctor and cardiologist),

  • low number of first aiders in the population [15],

  • guideline care (GLC) ([16, 17]),

  • use of german disease management programs (DMP) ([18, 19]),

  • insufficient access to rehabilitation units,

  • insufficient access to heart training groups, and

  • not satisfying guideline medication [16].

To answer the question of which factors influence the mortality rate in Saxony-Anhalt, the regional myocardial infarction registry of Saxony-Anhalt (RHESA) was established in 2012. It investigated some of the factors mentioned above and is described elsewhere [20]. RHESA focuses on the comparison of an urban (city of Halle) and rural (region of Altmark) region. Data collected in RHESA enabled us to assess different levels of quality of health care of patients with AMI (structural, process, and outcome) in these areas. In the registry, we were not able to survey all individual and structural factors mentioned above. Therefore, we conducted an extended baseline survey in 2014. This extension, namely RHESA-CARE, focuses on the symptoms during infarction, the behaviour of patients while alerting for infarction, the use of rehabilitation facilities (multidisciplinary rehabilitation programs, and heart training groups), and long-term care. Furthermore, we plan a follow-up of the MI patients after 2 years of baseline. Here we will examine the occurrence of major adverse cardiac events (MACE) as well as changes in individual cardiovascular risk factors. This paper presents the design and objectives of RHESA-CARE.

The aims of RHESA-CARE are:
  • profile the individual factors of AMI patients (Table 1) at baseline and 2 years of follow-up,
    Table 1

    Overview of certain factors in RHESA-CARE split by the time points before/during/after AMI


    Structural factors

    Individual factors

    Before AMI

    Availability of family doctor

    Cardiovascular risk factors


    Availability of cardiologist

    Use of medical services




    Long-term care

    During AMI

    Availability of first aider



    alerting behaviour

    After AMI

    Availability of rehabilitation

    Risk factors



    Use of rehabilitation programmes


    Use of heart training groups


    Availability of heart training




    Long-term care

  • detect differences in these risk factors between the rural and urban populations of Saxony-Anhalt,

  • elucidate reasons for regional variations in structural factors, e.g. availability of a cardiologist, family doctors, and heart training groups,

  • examine the influence of individual and structural risk factors and determents like guideline care, heart training groups, and disease management programs on the occurrence of major adverse cardiac events (MACE),

  • examine the change in risk profile between baseline and follow-up, and

  • quantify the influence of determents on changes in risk profile.


Study design

RHESA-CARE is a extended baseline survey with a planned 2 years follow-up of AMI patients registered in RHESA. RHESA-CARE has been conducted since May 2014 at the Institute of Medical Epidemiology, Biostatistics, and Informatics (IMEBI). It is being funded by the Wilhelm Roux Program of the Faculty of Medicine of the Martin Luther University Halle-Wittenberg.

Study population

RHESA includes patients with AMI aged 25 years or more. They have to be inhabitants of the city of Halle (Saale) or of the rural district Altmark in the federal state Saxony-Anhalt, Germany [20]. RHESA-CARE comprises all patients from RHESA who have survived AMI and agree with the survey (N = 600 per year). All inclusion criteria are shown in Table 2.
Table 2

Inclusion criteria of RHESA-CARE patients




Survived AMI since April 2014

Age at diagnosis

25 years and older


City of Halle (Saale)


District of Altmark


Being capable to complete the interview in German

We include all surviving AMI patients occurring after April 2014. For RHESA-CARE we expect a response of 80 % from all eligible patients. We had to exclude patients who were not capable of completing the interview in German.

Recruitment of patients and data collection

The recruitment includes at least two written invitations and active contact attempts by the study personnel via telephone if the patient does not respond to the written invitations (Fig. 1). Six weeks after discharge from hospital, we contact the patients with a covering letter and a patient information flyer about RHESA-CARE by mail (first contact phase). Patients with a known telephone number are identified and were contacted four working days after the postal contact by telephone. The first contact phase contains 10 phone calls at different times and days. If no contact can be made over at least two weeks, a reminder invitation is mailed to the subject (second contact phase). This phase corresponds to the first phase: covering letter and telephone contact. For those patients without a registered telephone number, two invitation letters with reply-paid envelope are sent. If the patient agrees to the survey, a computer assisted telephone interview (CATI) is fixed, and we submit a confirmation of appointment with additional information. We inform the patients to prepare a list of medication before and after the AMI and hold the address of the family doctor. Responders, who are not able to conduct the CATI (deafness, lack of concentration, or physical disability) obtain a postal self-administered questionnaire. This questionnaire includes the same items as the CATI.
Fig. 1
Fig. 1

Recruitment scheme of RHESA-CARE

If we were not able to reach the patient we checked address by the respective registry office. Should the address changed, we start the first contact phase again. When it was impossible to reach the patient or the patient does not agree to take part in our study we send them a self-administered non-responder questionnaire.

After the implementation of the CATI, or the self-administered questionnaire, we send a self-administered questionnaire to the family doctor, with a request to answer it, and return copies of the discharge summary from the hospital and rehabilitation unit.


After selection of interview items, a pilot study was performed to test the instruments and logistics of data collection. Slight modifications were made before the main phase of RHESA-CARE started in January 2015. The CATI includes classical and psychosocial cardiovascular risk factors as well as factors of alerting behaviour, first aid, and utilization of medical and rehabilitation services. We use highly standardized and validated instruments of data collection which have been applied in several completed or ongoing studies to ensure qualitiy of data and comparability. Questionnaire items were selected and adapted from:
  • MONICA/KORA myocardial infarction registry (Cooperative Health Research in the Region of Augsburg) and it‘s postal questionnaire wave in 2011 (KORA-DMP) [19, 21, 22],

  • CARLA study (CARdiovascular disease, Living and Ageing in Halle) [23],

  • DIOS study (Diagnosis Optimisation Study) [24], and

  • IRENA (evaluation of the Intensified Rehabilitation Aftercare Program) [25].

For some special items we developed questions. Details on the sources of the questionnaire modules are listed in Table 3.
Table 3

Topics, sub-categories, and sources of the responder questionnaire used in RHESA-CARE




Cardiovascular disease

Previous MI, cardiac interventions

Adopted from CARLA


symptomatic, situation while AMI, stroke, angina pectoris, dyspnoea, fluid retention, atrial fibrillation, blood pressure, cholesterol levels

Adopted from MONICA/KORA and KORA-DMP


First aid



Type of diabetes, intervention, blood sugar concentration, interval of measurement

Adopted from MONICA/KORA

Utilization of medical services

Consultation rates, medical assistance, patient education (blood pressure, diabetes, haemodilution), DMP programs

Adopted from MONICA/KORA and KORA-DMP


family doctor



Cardiac rehabilitation, heart training groups


Life style

Smoking behaviour

Adopted from BGS98-Questionaire [27]


BMI, physical activity

Adopted from MONICA/KORA


Medication before/after AMI, medication use

Adopted from MONICA/KORA, MMAS4 ([28, 29]) also used in MONICA/KORA

Health condition

Health condition

EQ-5D-3L [30] also used in MONIKA/KORA



GDS [31, 32]

Care dependency

Care level before/after AMI, use of care service before/after AMI

Adopted from MONICA/KORA

Social status

Socio-economic and employment status

Adopted from CARLA, DIOS [33], and IRENA


Health insurance

Adopted from MONICA/KORA

We used a non-responder questionnaire to identify possible structural differences between responder and non-responder. This questionnaire is a short version of the responder questionnaire and contains 15 items for cardiovascular disease, rehabilitation, body mass index (BMI), health condition, need for care, and social status. Furthermore, we prepared a questionnaire for the family doctor (FDQ). The FDQ contains the items: blood values, blood pressure, medication before/after AMI, and German disease management program (DMP) [18].

Quality management

The study was designed to fulfil the recommendations of the German Good Epidemiologic Practices [26]. We include several procedures for quality assurance. Before the main study started, the standard operating procedures (SOPs) were written and a pilot study was conducted. The aim of the pilot study was to test the time plan and the questionnaires.
  • After an initial interviewer training course, interviewers were monitored regularly. In addition, we have regular discussions with the interviewers to resolve questions.

  • The recruitment progress, given as the number of registered patients, is monitored monthly.

  • A plausibility control of the interview data is done monthly and is the basis for regular discussions with the interviewers.

  • The self-administered questionnaires are edited visually by the study personnel before the data are entered into the database. Self-administered questionnaires with incomplete information or missing data are marked and questions are prepared for requesting by telephone.

  • The FDQ is used to compare the doctors information with that of the patient as well as to complete the data of the patient if necessary.

Statistical analysis

In the baseline survey we are focused on explorative analysis. Therefore, we plan a descriptive analysis of individual and structural factors. To give an overview of possible differences in urban and rural patients, for example the behaviour of alerting, participation in cardiovascular rehabilitation, and utilization of medical services, we will perform stratified analysis. Furthermore, we focus on gender differences in factors like symptoms of MI, depression, and participation in cardiovascular rehabilitation. To examine the influence of risk factors and structural factors on the occurrence of MACE, we use multiple Cox-regression. For analysis of changing in risk profile we use descriptive statistics. We use SAS®;, Version 9.4 (SAS Institutes, Cary, NC), as well as R®;(Version 3.0.3) for the analysis.


Saxony-Anhalt is one of the federal states of Germany with the highest AMI mortality and morbidity rates. The causes are unclear and need to be surveyed. In previous studies, different factors at an individual patient level were discussed, as well as structural conditions and the quality of process factors.

RHESA-CARE is an extended baseline survey with the aim of a follow-up after 2 years. The main objective of RHESA-CARE is to investigate factors that influence morbidity and mortality rates due to AMI. Another purpose is the comparison of a rural and urban AMI patient population. Because of the selection of standardized interview items applied in other regional studies with the data of RHESA-CARE, a comparison with other registers like MONICA/KORA is possible.

Both RHESA and RHESA-CARE enable us to assess different levels of quality of health care of patients with AMI (structural, process and outcome). In particular, the comparison of rural and urban differences of structural effects and lifestyle components could be described.

The study serves as a base for improvement of patients’ behaviour and health care as well as further research of the named risk factors.


AMI, acute myocardial infarction; BMI, body mass index; CARLA, CARdiovascular disease, living and ageing in Halle; CATI, computer assisted telephone interview; MONICA/KORA, myocardial infarction registry of the cooperative health research in the region of Augsburg; CVD, cardiovascular disease; CHD, coronary heart disease; DMP, disease management programme; DIOS, diagnosis optimisation study; DMP, German disease management program; FDQ, family doctor questionnaire; GLC, guideline-care; IMEBI, institute of medical epidemiology, biostatistics, and informatics; IRENA, evaluation of the intensified rehabilitation aftercare program; KORA-DMP, KORA postal questionnaire wave in 2011; MACE, major adverse cardiac events; RHESA, regional myocardial infarction registry Saxony-Anhalt; RHESA-CARE, follow-up of RHESA; SOP, standard operating procedure



We would like to thank Prof. Dr. Christa Meisinger, Dr. Inge Kirchberger (KORA), and Prof. Dr. Andreas Klement (IMEBI) for their support in developing the questionnaires. Furthermore, we would like to thank the study personnel Yves Froese, Lennart Pie, Patricia Stein, and Lena Katharina Wehle.


RHESA-CARE is fund by the Wilhelm Roux Program of the Faculty of Medicine of the Martin Luther University Halle-Wittenberg (FKZ 28/35).

Availability of data and materials

Not applicable.

Authors’ contributions

KH drafted the manuscript, co-ordinated the study, and helped to design the study. SB helped to design the study and helped to draft the manuscript. WM developed parts of the questionnaire and helped to draft the manuscript. ASP conducted the study and helped to draft the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

RHESA was approved by the Ethics Committee of the Medical Faculty of the Martin Luther University Halle-Wittenberg and by the State Data Protection and Privacy Commissioner of Saxony-Anhalt. As a part of RHESA, the ethics for the RHESA-CARE Study are included in those of the RHESA.

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

Martin Luther University Halle-Wittenberg, Institute of Medical Epidemiology, Biostatistics, and Informatics, Magdeburger Str. 8, Halle (Saale), D-06097, Germany
Martin Luther University Halle-Wittenberg, Institute of Rehabilitation Medicine, Magdeburger Str. 8, Halle (Saale), D-06097, Germany


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